Dr. Rasoul Sanaei Successfully Defended his Doctoral Thesis on Resilience in Air Traffic Flow Management
- Development of a resilience concept in the context of Air Traffic Flow Management (ATFM)
- Introduction of novel methodologies leveraging machine learning applications
- Contribution towards resilience-driven decision making in ATFM
Advancing Air Traffic Flow Management (ATFM)
Dr. Sanaei's doctoral journey underscores his commitment to innovation and excellence in addressing the challenges facing the European ATFM system. Transitioning from industrial engineering to aviation, he began his doctoral journey with a unique perspective and a departure from conventional methodologies by integrating machine learning within ATFM research at DLR. This integration, evident in the SESAR2020 project PJ09 “Advanced Demand-Capacity-Balancing”, represents a conceptual improvement in addressing complex ATFM challenges.
Development of a resilience concept in the context of Air Traffic Flow Management (ATFM)
His dissertation emphasises resilience as a critical aspect of ATFM. The thesis completes safety-centric approaches by network performance and performance variability approaches. This perspective is more and more being reflected in scientific and operational terms, e.g. through current SESAR3 projects like ISLAND and SMARTS.